| Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems 2005 Edition Contributor(s): Melin, Patricia (Author), Castillo, Oscar (Author) |
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ISBN: 3540241213 ISBN-13: 9783540241218 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: March 2005 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electrical - Mathematics | Applied - Computers | Computer Vision & Pattern Recognition |
| Dewey: 006.32 |
| LCCN: 2004116661 |
| Series: Studies in Fuzziness and Soft Computing |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.30 lbs) 272 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence. |